BLOCKCHAIN-BASED CROP MONITORING USING AN INTERPLANETARY FILE SYSTEM

Authors

  • Jananee Vinayagam
  • Dhivya Baskar
  • Tamilvizhi Thanarajan Panimalar Engineering College
  • Mahendran Rajamanickam

DOI:

https://doi.org/10.47163/agrociencia.v59i8.3553

Keywords:

agriculture, blockchain technology, machine learning.

Abstract

Continuous monitoring of crops is essential for early issue detection and data-driven decision making, which supports improved yield, quality, and environmental sustainability in agriculture. Blockchain technology has been used for continuous monitoring of agricultural fields, although its adoption remains limited due to economic and technological constraints. This study proposes an enhanced crop-monitoring framework with InterPlanetary File System (IPFS) technology to overcome the limitations of existing models. Experimental evaluation showed that the proposed model achieved 98 % accuracy and a 99.8 % confidentiality rate. System throughput increased from 3 kb s-1 for 10 kb of data to 307 kb s-1 for 3000 kb, demonstrating strong scalability. By integrating decentralized IPFS storage with blockchain-based traceability, the system ensures data integrity, cost-efficiency, and reliable real-time monitoring, offering a practical solution for precision agriculture. These findings demonstrate the potential of the IPFS-enabled framework as an efficient alternative to conventional blockchain-dependent models.

Additional Files

Published

04-12-2025

Issue

Section

Crop Science